Profiling Report

Dataset statistics

Number of variables	16
Number of observations	891
Missing cells	177
Missing cells (%)	1.2%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	150.6 KiB
Average record size in memory	173.1 B

Variable types

Numeric	8
Boolean	1
Categorical	3
Text	3
DateTime	1

Alerts

`%_Fare` is highly overall correlated with `Fare`	High correlation
`Fare` is highly overall correlated with `%_Fare`	High correlation
`Novos_IDs` is highly overall correlated with `PassengerId` and 3 other fields	High correlation
`PassengerId` is highly overall correlated with `Novos_IDs` and 3 other fields	High correlation
`Pclass` is highly overall correlated with `Novos_IDs` and 1 other fields	High correlation
`Sex` is highly overall correlated with `Novos_IDs` and 2 other fields	High correlation
`Survived` is highly overall correlated with `Novos_IDs` and 2 other fields	High correlation
`Birthday` has 177 (19.9%) missing values	Missing
`Novos_IDs` is uniformly distributed	Uniform
`PassengerId` is uniformly distributed	Uniform
`Novos_IDs` has unique values	Unique
`PassengerId` has unique values	Unique
`Name` has unique values	Unique
`Distribuicao` has unique values	Unique
`SibSp` has 608 (68.2%) zeros	Zeros
`Parch` has 678 (76.1%) zeros	Zeros
`Fare` has 15 (1.7%) zeros	Zeros
`%_Fare` has 15 (1.7%) zeros	Zeros

Reproduction

Analysis started	2024-06-05 20:59:27.485332
Analysis finished	2024-06-05 21:03:04.105192
Duration	3 minutes and 36.62 seconds
Software version	ydata-profiling v4.8.3
Download configuration	config.json

Novos_IDs
Real number (ℝ)

HIGH CORRELATION UNIFORM UNIQUE

Distinct	891
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1336

Minimum	891
Maximum	1781
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	46.2 KiB

Quantile statistics

Minimum	891
5-th percentile	935.5
Q1	1113.5
median	1336
Q3	1558.5
95-th percentile	1736.5
Maximum	1781
Range	890
Interquartile range (IQR)	445

Descriptive statistics

Standard deviation	257.35384
Coefficient of variation (CV)	0.19263012
Kurtosis	-1.2
Mean	1336
Median Absolute Deviation (MAD)	223
Skewness	0
Sum	1190376
Variance	66231
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
891	1	0.1%
1489	1	0.1%
1478	1	0.1%
1479	1	0.1%
1480	1	0.1%
1481	1	0.1%
1482	1	0.1%
1483	1	0.1%
1484	1	0.1%
1485	1	0.1%
Other values (881)	881	98.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
891	1	0.1%
892	1	0.1%
893	1	0.1%
894	1	0.1%
895	1	0.1%
896	1	0.1%
897	1	0.1%
898	1	0.1%
899	1	0.1%
900	1	0.1%

Value	Count	Frequency (%)
1781	1	0.1%
1780	1	0.1%
1779	1	0.1%
1778	1	0.1%
1777	1	0.1%
1776	1	0.1%
1775	1	0.1%
1774	1	0.1%
1773	1	0.1%
1772	1	0.1%

PassengerId
Real number (ℝ)

HIGH CORRELATION UNIFORM UNIQUE

Distinct	891
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	446

Minimum	1
Maximum	891
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	46.2 KiB

Quantile statistics

Minimum	1
5-th percentile	45.5
Q1	223.5
median	446
Q3	668.5
95-th percentile	846.5
Maximum	891
Range	890
Interquartile range (IQR)	445

Descriptive statistics

Standard deviation	257.35384
Coefficient of variation (CV)	0.57702655
Kurtosis	-1.2
Mean	446
Median Absolute Deviation (MAD)	223
Skewness	0
Sum	397386
Variance	66231
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1	0.1%
599	1	0.1%
588	1	0.1%
589	1	0.1%
590	1	0.1%
591	1	0.1%
592	1	0.1%
593	1	0.1%
594	1	0.1%
595	1	0.1%
Other values (881)	881	98.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	0.1%
2	1	0.1%
3	1	0.1%
4	1	0.1%
5	1	0.1%
6	1	0.1%
7	1	0.1%
8	1	0.1%
9	1	0.1%
10	1	0.1%

Value	Count	Frequency (%)
891	1	0.1%
890	1	0.1%
889	1	0.1%
888	1	0.1%
887	1	0.1%
886	1	0.1%
885	1	0.1%
884	1	0.1%
883	1	0.1%
882	1	0.1%

Survived
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	40.1 KiB

False	549
True	342

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	549	61.6%
True	342	38.4%

Pclass
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	46.2 KiB

3	491
1	216
2	184

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	891
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	1
3rd row	3
4th row	1
5th row	3

Common Values

Value	Count	Frequency (%)
3	491	55.1%
1	216	24.2%
2	184	20.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	491	55.1%
1	216	24.2%
2	184	20.7%

Most occurring characters

Value	Count	Frequency (%)
3	491	55.1%
1	216	24.2%
2	184	20.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	891	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
3	491	55.1%
1	216	24.2%
2	184	20.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	891	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
3	491	55.1%
1	216	24.2%
2	184	20.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	891	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
3	491	55.1%
1	216	24.2%
2	184	20.7%

Name
Text

UNIQUE

Distinct	891
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	46.2 KiB

Length

Max length	82
Median length	52
Mean length	26.965208
Min length	12

Characters and Unicode

Total characters	24026
Distinct characters	60
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	891 ?
Unique (%)	100.0%

Sample

1st row	Braund, Mr. Owen Harris
2nd row	Cumings, Mrs. John Bradley (Florence Briggs Thayer)
3rd row	Heikkinen, Miss. Laina
4th row	Futrelle, Mrs. Jacques Heath (Lily May Peel)
5th row	Allen, Mr. William Henry

Value	Count	Frequency (%)
mr	521	14.4%
miss	182	5.0%
mrs	129	3.6%
william	64	1.8%
john	44	1.2%
master	40	1.1%
henry	35	1.0%
george	24	0.7%
james	24	0.7%
charles	23	0.6%
Other values (1515)	2538	70.0%

Most occurring characters

Value	Count	Frequency (%)
	2735	11.4%
r	1958	8.1%
e	1703	7.1%
a	1657	6.9%
i	1325	5.5%
n	1304	5.4%
s	1297	5.4%
M	1128	4.7%
l	1067	4.4%
o	1008	4.2%
Other values (50)	8844	36.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	24026	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	2735	11.4%
r	1958	8.1%
e	1703	7.1%
a	1657	6.9%
i	1325	5.5%
n	1304	5.4%
s	1297	5.4%
M	1128	4.7%
l	1067	4.4%
o	1008	4.2%
Other values (50)	8844	36.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	24026	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	2735	11.4%
r	1958	8.1%
e	1703	7.1%
a	1657	6.9%
i	1325	5.5%
n	1304	5.4%
s	1297	5.4%
M	1128	4.7%
l	1067	4.4%
o	1008	4.2%
Other values (50)	8844	36.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	24026	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	2735	11.4%
r	1958	8.1%
e	1703	7.1%
a	1657	6.9%
i	1325	5.5%
n	1304	5.4%
s	1297	5.4%
M	1128	4.7%
l	1067	4.4%
o	1008	4.2%
Other values (50)	8844	36.8%

Sex
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	46.2 KiB

male	577
female	314

Length

Max length	6
Median length	4
Mean length	4.704826
Min length	4

Characters and Unicode

Total characters	4192
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	male
2nd row	female
3rd row	female
4th row	female
5th row	male

Common Values

Value	Count	Frequency (%)
male	577	64.8%
female	314	35.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
male	577	64.8%
female	314	35.2%

Most occurring characters

Value	Count	Frequency (%)
e	1205	28.7%
m	891	21.3%
a	891	21.3%
l	891	21.3%
f	314	7.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	4192	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	1205	28.7%
m	891	21.3%
a	891	21.3%
l	891	21.3%
f	314	7.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	4192	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	1205	28.7%
m	891	21.3%
a	891	21.3%
l	891	21.3%
f	314	7.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	4192	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	1205	28.7%
m	891	21.3%
a	891	21.3%
l	891	21.3%
f	314	7.5%

Birthday
Date

MISSING

Distinct	71
Distinct (%)	9.9%
Missing	177
Missing (%)	19.9%
Memory size	46.2 KiB

Minimum	1832-04-15 00:00:00
Maximum	1912-04-15 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

SibSp
Real number (ℝ)

ZEROS

Distinct	7
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.52300786

Minimum	0
Maximum	8
Zeros	608
Zeros (%)	68.2%
Negative	0
Negative (%)	0.0%
Memory size	46.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	3
Maximum	8
Range	8
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.1027434
Coefficient of variation (CV)	2.1084644
Kurtosis	17.88042
Mean	0.52300786
Median Absolute Deviation (MAD)	0
Skewness	3.6953517
Sum	466
Variance	1.2160431
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0	608	68.2%
1	209	23.5%
2	28	3.1%
4	18	2.0%
3	16	1.8%
8	7	0.8%
5	5	0.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	608	68.2%
1	209	23.5%
2	28	3.1%
3	16	1.8%
4	18	2.0%
5	5	0.6%
8	7	0.8%

Value	Count	Frequency (%)
8	7	0.8%
5	5	0.6%
4	18	2.0%
3	16	1.8%
2	28	3.1%
1	209	23.5%
0	608	68.2%

Parch
Real number (ℝ)

ZEROS

Distinct	7
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.38159371

Minimum	0
Maximum	6
Zeros	678
Zeros (%)	76.1%
Negative	0
Negative (%)	0.0%
Memory size	46.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	2
Maximum	6
Range	6
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.80605722
Coefficient of variation (CV)	2.1123441
Kurtosis	9.7781252
Mean	0.38159371
Median Absolute Deviation (MAD)	0
Skewness	2.749117
Sum	340
Variance	0.64972824
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0	678	76.1%
1	118	13.2%
2	80	9.0%
5	5	0.6%
3	5	0.6%
4	4	0.4%
6	1	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	678	76.1%
1	118	13.2%
2	80	9.0%
3	5	0.6%
4	4	0.4%
5	5	0.6%
6	1	0.1%

Value	Count	Frequency (%)
6	1	0.1%
5	5	0.6%
4	4	0.4%
3	5	0.6%
2	80	9.0%
1	118	13.2%
0	678	76.1%

Ticket
Text

Distinct	681
Distinct (%)	76.4%
Missing	0
Missing (%)	0.0%
Memory size	46.2 KiB

Length

Max length	18
Median length	17
Mean length	6.7508418
Min length	3

Characters and Unicode

Total characters	6015
Distinct characters	35
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	547 ?
Unique (%)	61.4%

Sample

1st row	A/5 21171
2nd row	PC 17599
3rd row	STON/O2. 3101282
4th row	113803
5th row	373450

Value	Count	Frequency (%)
pc	60	5.3%
c.a	27	2.4%
a/5	17	1.5%
ca	14	1.2%
ston/o	12	1.1%
2	12	1.1%
sc/paris	9	0.8%
w./c	9	0.8%
soton/o.q	8	0.7%
347082	7	0.6%
Other values (709)	955	84.5%

Most occurring characters

Value	Count	Frequency (%)
3	746	12.4%
1	689	11.5%
2	594	9.9%
7	490	8.1%
4	464	7.7%
6	422	7.0%
0	406	6.7%
5	387	6.4%
9	328	5.5%
8	282	4.7%
Other values (25)	1207	20.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	6015	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
3	746	12.4%
1	689	11.5%
2	594	9.9%
7	490	8.1%
4	464	7.7%
6	422	7.0%
0	406	6.7%
5	387	6.4%
9	328	5.5%
8	282	4.7%
Other values (25)	1207	20.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	6015	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
3	746	12.4%
1	689	11.5%
2	594	9.9%
7	490	8.1%
4	464	7.7%
6	422	7.0%
0	406	6.7%
5	387	6.4%
9	328	5.5%
8	282	4.7%
Other values (25)	1207	20.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	6015	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
3	746	12.4%
1	689	11.5%
2	594	9.9%
7	490	8.1%
4	464	7.7%
6	422	7.0%
0	406	6.7%
5	387	6.4%
9	328	5.5%
8	282	4.7%
Other values (25)	1207	20.1%

Fare
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	248
Distinct (%)	27.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	32.204208

Minimum	0
Maximum	512.3292
Zeros	15
Zeros (%)	1.7%
Negative	0
Negative (%)	0.0%
Memory size	46.2 KiB

Quantile statistics

Minimum	0
5-th percentile	7.225
Q1	7.9104
median	14.4542
Q3	31
95-th percentile	112.07915
Maximum	512.3292
Range	512.3292
Interquartile range (IQR)	23.0896

Descriptive statistics

Standard deviation	49.693429
Coefficient of variation (CV)	1.5430725
Kurtosis	33.398141
Mean	32.204208
Median Absolute Deviation (MAD)	6.9042
Skewness	4.7873165
Sum	28693.949
Variance	2469.4368
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8.05	43	4.8%
13	42	4.7%
7.8958	38	4.3%
7.75	34	3.8%
26	31	3.5%
10.5	24	2.7%
7.925	18	2.0%
7.775	16	1.8%
7.2292	15	1.7%
0	15	1.7%
Other values (238)	615	69.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	15	1.7%
4.0125	1	0.1%
5	1	0.1%
6.2375	1	0.1%
6.4375	1	0.1%
6.45	1	0.1%
6.4958	2	0.2%
6.75	2	0.2%
6.8583	1	0.1%
6.95	1	0.1%

Value	Count	Frequency (%)
512.3292	3	0.3%
263	4	0.4%
262.375	2	0.2%
247.5208	2	0.2%
227.525	4	0.4%
221.7792	1	0.1%
211.5	1	0.1%
211.3375	3	0.3%
164.8667	2	0.2%
153.4625	3	0.3%

Cabin
Text

Distinct	148
Distinct (%)	16.6%
Missing	0
Missing (%)	0.0%
Memory size	46.2 KiB

Length

Max length	15
Median length	12
Mean length	10.074074
Min length	1

Characters and Unicode

Total characters	8976
Distinct characters	27
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	101 ?
Unique (%)	11.3%

Sample

1st row	Desconhecido
2nd row	C85
3rd row	Desconhecido
4th row	C123
5th row	Desconhecido

Value	Count	Frequency (%)
desconhecido	687	74.3%
c25	4	0.4%
c27	4	0.4%
g6	4	0.4%
b96	4	0.4%
b98	4	0.4%
f	4	0.4%
c23	4	0.4%
f33	3	0.3%
e101	3	0.3%
Other values (152)	204	22.1%

Most occurring characters

Value	Count	Frequency (%)
c	1374	15.3%
o	1374	15.3%
e	1374	15.3%
D	721	8.0%
s	687	7.7%
n	687	7.7%
h	687	7.7%
i	687	7.7%
d	687	7.7%
2	72	0.8%
Other values (17)	626	7.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	8976	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
c	1374	15.3%
o	1374	15.3%
e	1374	15.3%
D	721	8.0%
s	687	7.7%
n	687	7.7%
h	687	7.7%
i	687	7.7%
d	687	7.7%
2	72	0.8%
Other values (17)	626	7.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	8976	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
c	1374	15.3%
o	1374	15.3%
e	1374	15.3%
D	721	8.0%
s	687	7.7%
n	687	7.7%
h	687	7.7%
i	687	7.7%
d	687	7.7%
2	72	0.8%
Other values (17)	626	7.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	8976	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
c	1374	15.3%
o	1374	15.3%
e	1374	15.3%
D	721	8.0%
s	687	7.7%
n	687	7.7%
h	687	7.7%
i	687	7.7%
d	687	7.7%
2	72	0.8%
Other values (17)	626	7.0%

Embarked
Categorical

Distinct	4
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	46.2 KiB

S	644
C	168
Q	77
D	2

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	891
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	S
2nd row	C
3rd row	S
4th row	S
5th row	S

Common Values

Value	Count	Frequency (%)
S	644	72.3%
C	168	18.9%
Q	77	8.6%
D	2	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
s	644	72.3%
c	168	18.9%
q	77	8.6%
d	2	0.2%

Most occurring characters

Value	Count	Frequency (%)
S	644	72.3%
C	168	18.9%
Q	77	8.6%
D	2	0.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	891	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
S	644	72.3%
C	168	18.9%
Q	77	8.6%
D	2	0.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	891	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
S	644	72.3%
C	168	18.9%
Q	77	8.6%
D	2	0.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	891	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
S	644	72.3%
C	168	18.9%
Q	77	8.6%
D	2	0.2%

Age
Real number (ℝ)

Distinct	72
Distinct (%)	8.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	29.698101

Minimum	0
Maximum	80.052055
Zeros	7
Zeros (%)	0.8%
Negative	0
Negative (%)	0.0%
Memory size	46.2 KiB

Quantile statistics

Minimum	0
5-th percentile	6.0054795
Q1	22.013699
median	29.698101
Q3	35.021918
95-th percentile	54.035616
Maximum	80.052055
Range	80.052055
Interquartile range (IQR)	13.008219

Descriptive statistics

Standard deviation	13.019444
Coefficient of variation (CV)	0.43839315
Kurtosis	0.97154209
Mean	29.698101
Median Absolute Deviation (MAD)	6.3238172
Skewness	0.42886103
Sum	26461.008
Variance	169.50592
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
29.69810061	177	19.9%
24.01369863	31	3.5%
22.01369863	27	3.0%
28.01643836	27	3.0%
30.01917808	27	3.0%
18.0109589	26	2.9%
19.0109589	25	2.8%
21.01369863	24	2.7%
36.02191781	23	2.6%
25.01643836	23	2.6%
Other values (62)	481	54.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	7	0.8%
1.002739726	7	0.8%
2.002739726	10	1.1%
3.002739726	6	0.7%
4.002739726	10	1.1%
5.005479452	4	0.4%
6.005479452	3	0.3%
7.005479452	3	0.3%
8.005479452	4	0.4%
9.008219178	8	0.9%

Value	Count	Frequency (%)
80.05205479	1	0.1%
74.04931507	1	0.1%
71.04657534	2	0.2%
70.04657534	3	0.3%
66.04383562	1	0.1%
65.04383562	3	0.3%
64.04109589	2	0.2%
63.04109589	2	0.2%
62.04109589	4	0.4%
61.04109589	3	0.3%

Distribuicao
Real number (ℝ)

UNIQUE

Distinct	891
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-0.028571711

Minimum	-3.1518161
Maximum	2.6268978
Zeros	0
Zeros (%)	0.0%
Negative	441
Negative (%)	49.5%
Memory size	46.2 KiB

Quantile statistics

Minimum	-3.1518161
5-th percentile	-1.7411442
Q1	-0.68490717
median	0.010747109
Q3	0.65381224
95-th percentile	1.4946805
Maximum	2.6268978
Range	5.778714
Interquartile range (IQR)	1.3387194

Descriptive statistics

Standard deviation	0.9845536
Coefficient of variation (CV)	-34.459036
Kurtosis	-0.14735532
Mean	-0.028571711
Median Absolute Deviation (MAD)	0.6779742
Skewness	-0.1528817
Sum	-25.457394
Variance	0.9693458
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.015337338	1	0.1%
0.153397302	1	0.1%
-1.470347339	1	0.1%
1.321378887	1	0.1%
0.1177174285	1	0.1%
-0.01861284392	1	0.1%
-1.110778011	1	0.1%
2.615885256	1	0.1%
0.2528943712	1	0.1%
-0.3735156583	1	0.1%
Other values (881)	881	98.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-3.151816115	1	0.1%
-2.898155324	1	0.1%
-2.586741819	1	0.1%
-2.560199773	1	0.1%
-2.544808226	1	0.1%
-2.53101978	1	0.1%
-2.51471156	1	0.1%
-2.423426012	1	0.1%
-2.399446658	1	0.1%
-2.342951734	1	0.1%

Value	Count	Frequency (%)
2.626897849	1	0.1%
2.615885256	1	0.1%
2.466337431	1	0.1%
2.375946643	1	0.1%
2.364682786	1	0.1%
2.296557927	1	0.1%
2.263814277	1	0.1%
2.231983637	1	0.1%
2.165719177	1	0.1%
2.131642262	1	0.1%

%_Fare
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	248
Distinct (%)	27.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.11223345

Minimum	0
Maximum	1.7854956
Zeros	15
Zeros (%)	1.7%
Negative	0
Negative (%)	0.0%
Memory size	46.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0.025179525
Q1	0.027568181
median	0.050373686
Q3	0.10803671
95-th percentile	0.39060204
Maximum	1.7854956
Range	1.7854956
Interquartile range (IQR)	0.080468533

Descriptive statistics

Standard deviation	0.17318435
Coefficient of variation (CV)	1.5430725
Kurtosis	33.398141
Mean	0.11223345
Median Absolute Deviation (MAD)	0.024061519
Skewness	4.7873165
Sum	100
Variance	0.029992818
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.02805469514	43	4.8%
0.04530571886	42	4.7%
0.02751729961	38	4.3%
0.02700917855	34	3.8%
0.09061143772	31	3.5%
0.03659308062	24	2.7%
0.02761906323	18	2.0%
0.02709630493	16	1.8%
0.02519416175	15	1.7%
0	15	1.7%
Other values (238)	615	69.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	15	1.7%
0.01398378438	1	0.1%
0.01742527649	1	0.1%
0.02173803242	1	0.1%
0.02243504347	1	0.1%
0.02247860667	1	0.1%
0.0226382222	2	0.2%
0.02352412325	2	0.2%
0.02390155474	1	0.1%
0.02422113431	1	0.1%

Value	Count	Frequency (%)
1.785495592	3	0.3%
0.9165695431	4	0.4%
0.9143913836	2	0.2%
0.8626236752	2	0.2%
0.7929372065	4	0.4%
0.7729127757	1	0.1%
0.7370891953	1	0.1%
0.7365228738	3	0.3%
0.5745695661	2	0.2%
0.5348252985	3	0.3%

Auto

Heatmap
Table

	%_Fare	Age	Distribuicao	Embarked	Fare	Novos_IDs	Parch	PassengerId	Pclass	Sex	SibSp	Survived
%_Fare	1.000	0.119	0.052	0.170	1.000	-0.014	0.410	-0.004	0.479	0.189	0.447	0.283
Age	0.119	1.000	-0.068	0.139	0.119	0.042	-0.217	0.001	0.259	0.103	-0.147	0.156
Distribuicao	0.052	-0.068	1.000	0.065	0.052	-0.012	0.045	-0.012	0.083	0.000	0.056	0.057
Embarked	0.170	0.139	0.065	1.000	-0.082	0.018	0.031	0.022	0.264	0.125	0.014	0.173
Fare	1.000	0.119	0.052	-0.082	1.000	-0.014	0.410	-0.004	0.479	0.189	0.447	0.283
Novos_IDs	-0.014	0.042	-0.012	0.018	-0.014	1.000	0.001	0.761	1.000	1.000	-0.061	1.000
Parch	0.410	-0.217	0.045	0.031	0.410	0.001	1.000	0.017	0.022	0.247	0.450	0.157
PassengerId	-0.004	0.001	-0.012	0.022	-0.004	0.761	0.017	1.000	1.000	1.000	-0.034	1.000
Pclass	0.479	0.259	0.083	0.264	0.479	1.000	0.022	1.000	1.000	0.130	-0.043	0.337
Sex	0.189	0.103	0.000	0.125	0.189	1.000	0.247	1.000	0.130	1.000	-0.195	0.540
SibSp	0.447	-0.147	0.056	0.014	0.447	-0.061	0.450	-0.034	-0.043	-0.195	1.000	0.187
Survived	0.283	0.156	0.057	0.173	0.283	1.000	0.157	1.000	0.337	0.540	0.187	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	Novos_IDs	PassengerId	Survived	Pclass	Name	Sex	Birthday	SibSp	Parch	Ticket	Fare	Cabin	Embarked	Age	Distribuicao	%_Fare
0	00000891	1	No	3	Braund, Mr. Owen Harris	male	1890-04-15	1	0	A/5 21171	7.2500	Desconhecido	S	22.01370	1.01534	0.02527
1	00000892	2	Yes	1	Cumings, Mrs. John Bradley (Florence Briggs Thayer)	female	1874-04-15	1	0	PC 17599	71.2833	C85	C	38.02466	-0.22784	0.24843
2	00000893	3	Yes	3	Heikkinen, Miss. Laina	female	1886-04-15	0	0	STON/O2. 3101282	7.9250	Desconhecido	S	26.01644	0.04451	0.02762
3	00000894	4	Yes	1	Futrelle, Mrs. Jacques Heath (Lily May Peel)	female	1877-04-15	1	0	113803	53.1000	C123	S	35.02192	-0.20353	0.18506
4	00000895	5	No	3	Allen, Mr. William Henry	male	1877-04-15	0	0	373450	8.0500	Desconhecido	S	35.02192	-0.60770	0.02805
5	00000896	6	No	3	Moran, Mr. James	male	NaT	0	0	330877	8.4583	Desconhecido	Q	29.69810	-0.33395	0.02948
6	00000897	7	No	1	McCarthy, Mr. Timothy J	male	1858-04-15	0	0	17463	51.8625	E46	S	54.03562	-0.14852	0.18074
7	00000898	8	No	3	Palsson, Master. Gosta Leonard	male	1910-04-15	3	1	349909	21.0750	Desconhecido	S	2.00274	0.28098	0.07345
8	00000899	9	Yes	3	Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)	female	1885-04-15	0	2	347742	11.1333	Desconhecido	S	27.01644	-0.54804	0.03880
9	00000900	10	Yes	2	Nasser, Mrs. Nicholas (Adele Achem)	female	1898-04-15	1	0	237736	30.0708	Desconhecido	C	14.00822	-2.39945	0.10480

	Novos_IDs	PassengerId	Survived	Pclass	Name	Sex	Birthday	SibSp	Parch	Ticket	Fare	Cabin	Embarked	Age	Distribuicao	%_Fare
881	00001772	882	No	3	Markun, Mr. Johann	male	1879-04-15	0	0	349257	7.8958	Desconhecido	S	33.02192	-0.90174	0.02752
882	00001773	883	No	3	Dahlberg, Miss. Gerda Ulrika	female	1890-04-15	0	0	7552	10.5167	Desconhecido	S	22.01370	0.22295	0.03665
883	00001774	884	No	2	Banfield, Mr. Frederick James	male	1884-04-15	0	0	C.A./SOTON 34068	10.5000	Desconhecido	S	28.01644	0.98203	0.03659
884	00001775	885	No	3	Sutehall, Mr. Henry Jr	male	1887-04-15	0	0	SOTON/OQ 392076	7.0500	Desconhecido	S	25.01644	-1.20434	0.02457
885	00001776	886	No	3	Rice, Mrs. William (Margaret Norton)	female	1873-04-15	0	5	382652	29.1250	Desconhecido	Q	39.02466	-0.69764	0.10150
886	00001777	887	No	2	Montvila, Rev. Juozas	male	1885-04-15	0	0	211536	13.0000	Desconhecido	S	27.01644	-2.31977	0.04531
887	00001778	888	Yes	1	Graham, Miss. Margaret Edith	female	1893-04-15	0	0	112053	30.0000	B42	S	19.01096	-0.70334	0.10455
888	00001779	889	No	3	Johnston, Miss. Catherine Helen "Carrie"	female	NaT	1	2	W./C. 6607	23.4500	Desconhecido	S	29.69810	0.48322	0.08172
889	00001780	890	Yes	1	Behr, Mr. Karl Howell	male	1886-04-15	0	0	111369	30.0000	C148	C	26.01644	-0.95419	0.10455
890	00001781	891	No	3	Dooley, Mr. Patrick	male	1880-04-15	0	0	370376	7.7500	Desconhecido	Q	32.01918	0.46732	0.02701

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Interactions

Correlations

Missing values

Sample